arindam-halder's Stars
jwasham/coding-interview-university
A complete computer science study plan to become a software engineer.
codecrafters-io/build-your-own-x
Master programming by recreating your favorite technologies from scratch.
practical-tutorials/project-based-learning
Curated list of project-based tutorials
papers-we-love/papers-we-love
Papers from the computer science community to read and discuss.
bradtraversy/design-resources-for-developers
Curated list of design and UI resources from stock photos, web templates, CSS frameworks, UI libraries, tools and much more
labmlai/annotated_deep_learning_paper_implementations
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
karan/Projects
:page_with_curl: A list of practical projects that anyone can solve in any programming language.
donnemartin/data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
AmruthPillai/Reactive-Resume
A one-of-a-kind resume builder that keeps your privacy in mind. Completely secure, customizable, portable, open-source and free forever. Try it out today!
fastai/fastbook
The fastai book, published as Jupyter Notebooks
ml-tooling/best-of-ml-python
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
bharathgs/Awesome-pytorch-list
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
CoreyMSchafer/code_snippets
google-research/vision_transformer
brexhq/prompt-engineering
Tips and tricks for working with Large Language Models like OpenAI's GPT-4.
chiphuyen/ml-interviews-book
https://huyenchip.com/ml-interviews-book/
jonkrohn/ML-foundations
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
dair-ai/ML-Notebooks
:fire: Machine Learning Notebooks
danielecook/Awesome-Bioinformatics
A curated list of awesome Bioinformatics libraries and software.
manoss96/pregex
PRegEx - Programmable Regular Expressions
evanmiller/LLM-Reading-List
LLM papers I'm reading, mostly on inference and model compression
taivop/awesome-data-annotation
A list of tools for annotating data, managing annotations, etc.
xbresson/CS6208_2023
Advanced Topics in Artificial Intelligence, NUS CS6208, 2023
nlpfromscratch/nlp-llms-resources
Master list of curated resources on NLP and LLMs
paulrinckens/timexy
A spaCy custom component that extracts and normalizes temporal expressions
gahjelle/decorators_tutorial
Introduction to Decorators - Tutorial given at PyCon Online 2020 and 2021
shaongitbd/Machine-Learning-From-Scratch
amrrs/custom-ner-with-spacy3
Custom Named Entity Recognition with Spacy3
abhijithrajan/Information-Extraction-using-Python-and-spaCy
Kanishkparganiha/Deploying-NLP-Spacy-model-using-Docker-and-Flask